High fidelity imaging and high performance computing in nonlinear EIT [PDF]
, 2000 We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process.
B H Blott +4 more
openalex +2 more sources
High Performance Computing With A Conservative Spectral Boltzmann Solver [PDF]
, 2012 We present new results building on the conservative deterministic spectral method for the space inhomogeneous Boltzmann equation developed by Gamba and Tharkabhushaman.
Gamba, I. M., Haack, J. R.
core +4 more sources
Quantum Accelerators for High-Performance Computing Systems
, 2017 We define some of the programming and system-level challenges facing the application of quantum processing to high-performance computing. Alongside barriers to physical integration, prominent differences in the execution of quantum and conventional ...
Britt, Keith A. +2 more
core +1 more source
Group Communication Patterns for High Performance Computing in Scala [PDF]
, 2014 We developed a Functional object-oriented Parallel framework (FooPar) for high-level high-performance computing in Scala. Central to this framework are Distributed Memory Parallel Data structures (DPDs), i.e., collections of data distributed in a shared ...
Hargreaves, Felix P. +2 more
core +1 more source
Transformations of High-Level Synthesis Codes for High-Performance Computing
, 2019 Specialized hardware architectures promise a major step in performance and energy efficiency over the traditional load/store devices currently employed in large scale computing systems.
Besta, Maciej +3 more
core +1 more source
High-Performance Passive Macromodeling Algorithms for Parallel Computing Platforms [PDF]
, 2013 This paper presents a comprehensive strategy for fast generation of passive macromodels of linear devices and interconnects on parallel computing hardware.
Chinea, Alessandro +3 more
core +1 more source
High-Throughput Computing on High-Performance Platforms: A Case Study
, 2017 The computing systems used by LHC experiments has historically consisted of the federation of hundreds to thousands of distributed resources, ranging from small to mid-size resource.
Angius, Alessio +8 more
core +1 more source
The Locus Algorithm IV: Performance metrics of a grid computing system used to create catalogues of optimised pointings [PDF]
, 2020 This paper discusses the requirements for and performance metrics of the the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,779 quasars. Initial operational
Creaner, Oisín +3 more
core +1 more source
A Pattern Language for High-Performance Computing Resilience
, 2017 High-performance computing systems (HPC) provide powerful capabilities for modeling, simulation, and data analytics for a broad class of computational problems.
Chung Jinsuk +2 more
core +1 more source
ParaFPGA 2013: Harnessing Programs, Power and Performance in Parallel FPGA applications [PDF]
, 2014 Future computing systems will require dedicated accelerators to achieve high-performance. The mini-symposium ParaFPGA explores parallel computing with FPGAs as an interesting avenue to reduce the gap between the architecture and the application.
D'Hollander, Erik +2 more
core +2 more sources